{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# os模块处理数据路径用\n",
    "import os\n",
    "\n",
    "# numpy\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# mindspore.dataset\n",
    "import mindspore.dataset as ds # 数据集的载入\n",
    "import mindspore.dataset.transforms.c_transforms as C # 常用转化算子\n",
    "import mindspore.dataset.vision.c_transforms as CV # 图像转化算子\n",
    "\n",
    "# mindspore.common\n",
    "from mindspore.common import dtype as mstype # 数据形态转换\n",
    "from mindspore.common.initializer import Normal # 参数初始化\n",
    "from mindspore.nn import SoftmaxCrossEntropyWithLogits\n",
    "\n",
    "# mindspore.nn\n",
    "import mindspore.nn as nn # 各类网络层都在nn里面\n",
    "from mindspore.nn.metrics import Accuracy # 测试模型用\n",
    "\n",
    "from mindspore import Model # 承载网络结构\n",
    "from mindspore import context\n",
    "from mindspore import load_checkpoint, load_param_into_net\n",
    "from mindspore import Tensor\n",
    "\n",
    "from mindspore.train.callback import ModelCheckpoint, CheckpointConfig, LossMonitor, TimeMonitor\n",
    "# from mindspore.dataset.vision import Inter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The dataset size is: 1562\n",
      "The batch tensor is: (32, 3, 64, 64)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 32 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "context.set_context(mode=context.GRAPH_MODE, device_target=\"CPU\")\n",
    "\n",
    "def create_dataset(data_home, repeat_num=1, batch_size=32, do_train=True, device_target=\"CPU\"):\n",
    "    \"\"\"\n",
    "    create data for next use such as training or inferring\n",
    "    \"\"\"\n",
    "\n",
    "    cifar_ds = ds.Cifar10Dataset(data_home,num_parallel_workers=8, shuffle=True)\n",
    "\n",
    "    c_trans = []\n",
    "    if do_train:\n",
    "        c_trans += [\n",
    "            CV.RandomCrop((32, 32), (4, 4, 4, 4)),\n",
    "            CV.RandomHorizontalFlip(prob=0.5)\n",
    "        ]\n",
    "\n",
    "    c_trans += [\n",
    "        CV.Resize((64, 64)),\n",
    "        CV.Rescale(1.0 / 255.0, 0.0),\n",
    "        CV.Normalize([0.4914, 0.4822, 0.4465], [0.2023, 0.1994, 0.2010]),\n",
    "        CV.HWC2CHW()\n",
    "    ]\n",
    "\n",
    "    type_cast_op = C.TypeCast(mstype.int32)\n",
    "\n",
    "    cifar_ds = cifar_ds.map(operations=type_cast_op, input_columns=\"label\", num_parallel_workers=8)\n",
    "    cifar_ds = cifar_ds.map(operations=c_trans, input_columns=\"image\", num_parallel_workers=8)\n",
    "\n",
    "    cifar_ds = cifar_ds.batch(batch_size, drop_remainder=True)\n",
    "    cifar_ds = cifar_ds.repeat(repeat_num)\n",
    "\n",
    "    return cifar_ds\n",
    "\n",
    "\n",
    "ds_train_path = \"./datasets/cifar-10-batches-bin/train/\"\n",
    "dataset_show = create_dataset(ds_train_path)\n",
    "with open(ds_train_path+\"batches.meta.txt\",\"r\",encoding=\"utf-8\") as f:\n",
    "    all_name = [name.replace(\"\\n\",\"\") for name in f.readlines()]\n",
    "\n",
    "iterator_show= dataset_show.create_dict_iterator()\n",
    "dict_data = next(iterator_show)\n",
    "images = dict_data[\"image\"].asnumpy()\n",
    "labels = dict_data[\"label\"].asnumpy()\n",
    "count = 1\n",
    "%matplotlib inline\n",
    "for i in images:\n",
    "    plt.subplot(4, 8, count)\n",
    "    # Images[0].shape is (3,224,224).We need transpose as (224,224,3) for using in plt.show().\n",
    "    picture_show = np.transpose(i,(1,2,0))\n",
    "    picture_show = picture_show/np.amax(picture_show)\n",
    "    picture_show = np.clip(picture_show, 0, 1)\n",
    "    plt.title(all_name[labels[count-1]])\n",
    "    picture_show = np.array(picture_show,np.float32)\n",
    "    plt.imshow(picture_show)\n",
    "    count += 1\n",
    "    plt.axis(\"off\")\n",
    "\n",
    "print(\"The dataset size is:\", dataset_show.get_dataset_size())\n",
    "print(\"The batch tensor is:\",images.shape)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# image = images[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "del iterator_show, dict_data, images, labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "class LeNet5(nn.Cell):\n",
    "    \n",
    "    # 定义算子\n",
    "    def __init__(self, num_class=10, num_channel=3):\n",
    "        super(LeNet5, self).__init__()\n",
    "        \n",
    "#         # input 3*32*32\n",
    "#         conv1_maps = 6\n",
    "#         conv1_kernel = 3\n",
    "#         conv2_maps = 16\n",
    "#         conv2_kernel = 3\n",
    "#         conv3_maps = 32\n",
    "#         conv3_kernel = 3\n",
    "\n",
    "        # input 3*64*64\n",
    "        conv1_maps = 64\n",
    "        conv1_kernel = 3\n",
    "        conv2_maps = 128\n",
    "        conv2_kernel = 3\n",
    "        conv3_maps = 128\n",
    "        conv3_kernel = 3\n",
    "#         train_lenet_cifar10_6-3_1562.ckpt  conv1 6 3   conv2 16  3\n",
    "        \n",
    "        # 卷积层\n",
    "        self.conv1 = nn.Conv2d(num_channel, conv1_maps, conv1_kernel, pad_mode='valid')\n",
    "        self.conv2 = nn.Conv2d(conv1_maps, conv2_maps, conv2_kernel, pad_mode='valid')\n",
    "        self.conv3 = nn.Conv2d(conv2_maps, conv3_maps, conv3_kernel, pad_mode='valid')\n",
    "        \n",
    "        # 全连接层\n",
    "#         fc1Input = int(((((64-conv1_kernel+1) // 2)-conv2_kernel+1) // 2) ** 2) * conv2_maps\n",
    "        fc1Input = int(((((((64-conv1_kernel+1) // 2)-conv2_kernel+1) // 2)-conv3_kernel+1) // 2) ** 2) * conv3_maps\n",
    "        self.fc1 = nn.Dense(fc1Input, 120, weight_init=Normal(0.02))\n",
    "        self.fc2 = nn.Dense(120, 84, weight_init=Normal(0.02))\n",
    "        self.fc3 = nn.Dense(84, num_class, weight_init=Normal(0.02))\n",
    "        \n",
    "        # 激活函数\n",
    "        self.relu = nn.ReLU()\n",
    "        \n",
    "        # 最大池化层\n",
    "        self.max_pool2d = nn.MaxPool2d(kernel_size=2, stride=2)\n",
    "        \n",
    "        # 网络展开\n",
    "        self.flatten = nn.Flatten()\n",
    "        \n",
    "    # 建构网络\n",
    "    def construct(self, x):\n",
    "        x = self.conv1(x)\n",
    "        x = self.relu(x)\n",
    "        x = self.max_pool2d(x)\n",
    "        x = self.conv2(x)\n",
    "        x = self.relu(x)\n",
    "        x = self.max_pool2d(x)\n",
    "        x = self.conv3(x)\n",
    "        x = self.relu(x)\n",
    "        x = self.max_pool2d(x)\n",
    "        x = self.flatten(x)\n",
    "        x = self.fc1(x)\n",
    "        x = self.relu(x)\n",
    "        x = self.fc2(x)\n",
    "        x = self.relu(x)\n",
    "        x = self.fc3(x)\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 网络\n",
    "net = LeNet5()\n",
    "\n",
    "# 损失函数\n",
    "net_loss = nn.SoftmaxCrossEntropyWithLogits(sparse=True, reduction='mean')\n",
    "\n",
    "# 优化器\n",
    "lr = 0.009\n",
    "momentum = 0.9\n",
    "net_opt = nn.Momentum(net.trainable_params(), lr, momentum)\n",
    "\n",
    "# 模型\n",
    "model = Model(net, net_loss, net_opt, metrics={'accuracy': Accuracy()})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# if\n",
    "param_dict = load_checkpoint(\"checkpoint_lenet_verified-1_1562.ckpt\")\n",
    "load_param_into_net(net, param_dict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds_train_path = \"./datasets/cifar-10-batches-bin/train/\"\n",
    "ds_train = create_dataset(ds_train_path)\n",
    "batch_num = ds_train.get_dataset_size()\n",
    "\n",
    "config_ck = CheckpointConfig(save_checkpoint_steps=batch_num, keep_checkpoint_max=5)\n",
    "ckpoint_cb = ModelCheckpoint(prefix=\"train_lenet_cifar10\", config=config_ck)\n",
    "# ckpoint_cb = ModelCheckpoint(prefix=\"checkpoint_lenet_verified\",directory='obs://ml-practice/results/', config=config_ck)\n",
    "\n",
    "epoch_size = 1\n",
    "loss_cb = LossMonitor(125)\n",
    "\n",
    "# 监控每个epoch训练的时间\n",
    "time_cb = TimeMonitor(data_size=ds_train.get_dataset_size())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch: 1 step: 125, loss is 0.65279\n",
      "epoch: 1 step: 250, loss is 0.753261\n",
      "epoch: 1 step: 375, loss is 0.99463797\n",
      "epoch: 1 step: 500, loss is 0.5541766\n",
      "epoch: 1 step: 625, loss is 0.57696253\n",
      "epoch: 1 step: 750, loss is 0.93921596\n",
      "epoch: 1 step: 875, loss is 1.0672438\n",
      "epoch: 1 step: 1000, loss is 0.6521176\n",
      "epoch: 1 step: 1125, loss is 0.53975564\n",
      "epoch: 1 step: 1250, loss is 0.8691054\n",
      "epoch: 1 step: 1375, loss is 0.5765947\n",
      "epoch: 1 step: 1500, loss is 0.69717973\n",
      "epoch time: 906772.376 ms, per step time: 580.520 ms\n"
     ]
    }
   ],
   "source": [
    "model.train(epoch_size, ds_train, callbacks=[time_cb, ckpoint_cb, loss_cb], dataset_sink_mode=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# def test_net(model, data_path):\n",
    "#     ds_eval = create_dataset(os.path.join(data_path, \"test\"))\n",
    "#     acc = model.eval(ds_eval, dataset_sink_mode=False)\n",
    "#     print(\"{}\".format(acc))\n",
    "    \n",
    "# def train_net(model, epoch_size, data_path, repeat_size, ckpoint_cb, sink_mode):\n",
    "#     ds_train = create_dataset(os.path.join(data_path, \"train\"), 32, repeat_size)\n",
    "#     model.train(epoch_size, ds_train, callbacks=[ckpoint_cb, LossMonitor(125)], dataset_sink_mode=sink_mode)\n",
    "#     "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] ME(593:281473383272032,MainProcess):2021-07-15-11:20:00.188.721 [mindspore/train/model.py:756] CPU cannot support dataset sink mode currently.So the evaluating process will be performed with dataset non-sink mode.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "result:  {'accuracy': 0.7451923076923077}\n"
     ]
    }
   ],
   "source": [
    "# As for evaluation, users could use model.eval\n",
    "ds_eval_path = \"./datasets/cifar-10-batches-bin/test/\"\n",
    "ds_eval = create_dataset(ds_eval_path, do_train=False)\n",
    "res = model.eval(ds_eval)\n",
    "print(\"result: \", res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ds_train.shuffle(32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train results: {'accuracy': 0.7380761843790012}\n",
      "test results: {'accuracy': 0.7451923076923077}\n"
     ]
    }
   ],
   "source": [
    "res_train = model.eval(ds_train, dataset_sink_mode=False)\n",
    "res_test = model.eval(ds_eval, dataset_sink_mode=False)\n",
    "# 评估训练集\n",
    "print('train results:',res_train)\n",
    "# 评估测试集\n",
    "print('test results:',res_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#创建图像标签列表\n",
    "category_dict = {0:'airplane',1:'automobile',2:'bird',3:'cat',4:'deer',5:'dog',\n",
    "                 6:'frog',7:'horse',8:'ship',9:'truck'}\n",
    "\n",
    "\n",
    "def normalization(data):\n",
    "    _range = np.max(data) - np.min(data)\n",
    "    return (data - np.min(data)) / _range\n",
    "\n",
    "iterator_show= ds_eval.create_dict_iterator()\n",
    "dict_data = next(iterator_show)\n",
    "images = dict_data[\"image\"].asnumpy()\n",
    "labels = dict_data[\"label\"].asnumpy()\n",
    "\n",
    "# 设置图像大小\n",
    "plt.figure(figsize=(10,10))\n",
    "i = 1\n",
    "\n",
    "# 打印9张子图\n",
    "for index in range(len(images)):\n",
    "    # 预测单张图片\n",
    "    input_img = images[index]\n",
    "    output = model.predict(Tensor([input_img]))\n",
    "    output = nn.Softmax()(output)\n",
    "    # 反馈可能性最大的类别\n",
    "    predicted = np.argmax(output.asnumpy(),axis=1)[0]\n",
    "\n",
    "    # 可视化\n",
    "    plt.subplot(3,3,i)\n",
    "    # 删除batch维度   无须删除input_img (3, 64, 64)\n",
    "    # input_image = np.squeeze(input_img,axis=0).transpose(1,2,0)\n",
    "    input_img = input_img.transpose(1,2,0)\n",
    "    # 重新归一化，方便可视化\n",
    "    input_img = normalization(input_img)\n",
    "    plt.imshow(input_img)\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "    plt.axis('off')\n",
    "    plt.title('True label:%s,\\n Predicted:%s'%(category_dict[labels[index]],category_dict[predicted]))\n",
    "    i +=1\n",
    "    if i > 9 :\n",
    "        break\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "以下为调试部分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp=images[0]\n",
    "temp.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mindspore import Tensor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = Tensor([temp])\n",
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "conv1 = nn.Conv2d(3, 6, 5, pad_mode='valid')\n",
    "conv2 = nn.Conv2d(6, 16, 5, pad_mode='valid')\n",
    "relu = nn.ReLU()\n",
    "max_pool2d = nn.MaxPool2d(kernel_size=2, stride=2)\n",
    "flatten = nn.Flatten()\n",
    "fc1 = nn.Dense(5 * 5 * 16, 120, weight_init=Normal(0.02))\n",
    "fc2 = nn.Dense(120, 84, weight_init=Normal(0.02))\n",
    "fc3 = nn.Dense(84, 10, weight_init=Normal(0.02))\n",
    "\n",
    "# x = self.conv1(x)\n",
    "# x = self.relu(x)\n",
    "# x = self.max_pool2d(x)\n",
    "# x = self.conv2(x)\n",
    "# x = self.relu(x)\n",
    "# x = self.max_pool2d(x)\n",
    "# x = self.flatten(x)\n",
    "# x = self.fc1(x)\n",
    "# x = self.relu(x)\n",
    "# x = self.fc2(x)\n",
    "# x = self.relu(x)\n",
    "# x = self.fc3(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = Tensor([images[0]])\n",
    "temp.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = conv1(temp)\n",
    "temp = relu(temp)\n",
    "temp = max_pool2d(temp)\n",
    "temp.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = conv2(temp)\n",
    "temp = relu(temp)\n",
    "temp = max_pool2d(temp)\n",
    "temp.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = flatten(temp)\n",
    "temp.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = fc1(temp)\n",
    "temp = relu(temp)\n",
    "temp.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = fc2(temp)\n",
    "temp = relu(temp)\n",
    "temp.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp = fc3(temp)\n",
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "image = Tensor([images[0]])\n",
    "image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "image.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "image = images[0]\n",
    "image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "image=np.zeros(image.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "images[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!hexdump  train_lenet_cifar10-10_1562.ckpt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "MindSpore(1.1.1)",
   "language": "python",
   "name": "mindspore"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
